Operations | Monitoring | ITSM | DevOps | Cloud

A root cause is not a fix. AURA keeps working the problem, taking what you find on the host and coming back with the user ID mismatch behind the failure. What follows a root cause is normally manual: check the mount, compare ownership on the host against the user inside the container, and get it wrong at least once before it lands.

One integration token, one config file, no code. AURA routes the question to a runbook-reader worker, queries Notion, and answers from what your team wrote.

The most common question since we started 31 Days of AURA: how do you plan to make money? The short answer is the control plane, not the agent. Mezmo sells an enterprise-grade control plane for running large numbers of agents across large environments, where coordinating across environments, governance, access control, and the efficiency of preprocessing MCP data start to matter. If a hundred people run AURA and three or four of them need that, the model works. The more people running AI agents in production, the bigger the market for the tooling underneath them.

Wondering what the catch is on a free, vendor-backed agent? There is not one in the license. AURA stays Apache 2, fully capable, and free to run. If you are weighing an open source tool with a company behind it, the first question is what the catch is. You have seen the project that turns out to be open core, or that is quietly hindered in one key way. This is Mezmo's answer for AURA.

AURA does not have to live on your laptop. Install it into the cluster with Helm and it is still there the next time something breaks. AURA is a fully open source AI agent built specifically for SRE work. Rather than one general assistant, you configure workers: separate agent roles, each scoped to a job like inspecting the cluster.

Reaching a tool and being allowed to use it are two separate lists in the config. Put the mutable Kubernetes tools on the second one and each call pauses.

AURA is a fully open-source agentic harness built for SRE and production operations work. In this walkthrough, Mezmo forward deployed engineer Jeff iinstalls AURA on a local desktop, runs `aura init` to generate the config and connect it to an Anthropic Sonnet model, then wires in a Grafana MCP server pointed at his homelab. He hands AURA a live incident: a set of addressable LED lights that stopped responding to Home Assistant.

An agent harness for AIOps is the runtime layer that coding agents like Claude Code were never built to provide: context isolation, decision traceability, and gated execution for tools that touch production. Aura is Mezmo's open-source (Apache 2.0) agent harness, purpose-built for operations work rather than software development.

A walkthrough of the Slack-based SRE bot Mezmo's engineering team built on AURA, the open-source agent harness, running against Mezmo's own production tooling. Adrian Furlong shows the bot answering questions in a DM with tool calls visible inline, then in a shared channel where it reads the conversation before responding. He opens a fresh PagerDuty incident on camera. The webhook fires AURA, and within seconds, the agent posts a triage note back on the incident and a structured analysis in the dedicated incident channel.

See how Mezmo LiveTail helps teams move from passive log search to active, real-time investigation. In this demo, you'll watch live telemetry stream across services and environments, identify emerging issues as they happen, and use real-time context to troubleshoot faster before signals are delayed, buried, or lost in the noise. LiveTail is part of Mezmo's Active Telemetry platform — built for platform engineers and SREs who need immediate visibility into what's happening across their stack right now, not after the fact.